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Rag Engineer Jobs in Oregon (NOW HIRING)

Senior AI Automation Engineer

OR ยท Remote

$103K - $136K/yr

Data/RAG Pipeline Design & Management * * Design and automate data flow processes to support AI ... Programming for Automation * Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to ...

Senior Agent Engineer

OR ยท On-site +1

$104K - $143K/yr

So does the prompt-and-eval iteration cycle, in partnership with the RAG & Eval Engineer. * Own the agent layer of the platform - architecture, prompts, tool surfaces, multi-agent orchestration, and ...

$115K - $231K/yr

The AI Engineer partners closely with AI Business Partners and the AI Solutions Architect to ... Build Retrieval-Augmented Generation (RAG) pipelines, vector search capabilities, and secure data ...

Lead Agent Engineer

OR ยท On-site +1

$102K - $134K/yr

So does the prompt-and-eval iteration cycle, in partnership with the RAG & Eval Engineer. * Own the agent layer of the platform - architecture, prompts, tool surfaces, multi-agent orchestration, and ...

OR ยท On-site

$122K - $161K/yr

RAG and personalization, agent framework and tool use, evals and guardrails, and LLM application ... Understanding of prompt engineering, context window management, and LLM output quality tradeoffs.

AI Vibe Coding Engineer

OR ยท Remote

$64K - $72K/yr

Strong understanding of LLMs, RAG architectures, prompt engineering, AI agents, and MCP Preferred Qualification * Experience building GenAI applications * Familiarity with vector databases and ...

OR ยท On-site

This spans the user-facing AI layer (Wellness Agent, LLM-driven recommendations, RAG over catalog ... Represent engineering in cross-functional conversations with product, data science, security, and ...

Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. * Work closely with data engineering teams to build/maintain data pipelines ...

OR

$122K - $161K/yr

Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by ... We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ...

AI Integration: Assist in implementing and testing agentic workflows and advanced RAG (Retrieval ... Solid programming foundation with experience in backend development, specifically C# and .NET.

OR

$122K - $161K/yr

As a Senior Software Engineer on the Professional Archive Search team, you'll help design, build ... Design and optimize retrieval-augmented generation (RAG) pipelines, including handling long ...

Senior Forward Deployed Engineer (FDE)

OR ยท On-site +1

$104K - $143K/yr

The ideal candidate is an experienced engineer who excels in ambiguous environments, partners ... Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG ...

OR ยท On-site

APIs, data processing pipelines, integration layers, Retrieval Augmented Generation (RAG), and context engineering patterns. * Deploy and operate systems in cloud, on-prem, and air-gapped ...

OR ยท On-site

Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses * Design ...

Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by ... We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ...

$114K - $137K/yr

This role also partners closely with the AI and Innovation vTeam to prepare data for analytics, machine learning, and retrieval-augmented generation (RAG) applications. Data Platform Engineering and ...

Staff AI Engineer The Opportunity: Grafana's Revenue Operations organization is looking for a Staff ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

Forward Deployed Engineer, Google Cloud, AI Expert

OR ยท Remote

$55.75 - $74.50/hr

This role is for an engineer who thrives on ambiguity, codes alongside customer teams, and owns AI ... Design and implement Retrieval-Augmented Generation (RAG) pipelines and grounding architectures ...

Principal Software Engineer, AI

OR ยท On-site +1

$134K - $180K/yr

This includes a knowledge graph, RAG and retrieval systems, and the access control and governance ... The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade ...

The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ... Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ...

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Showing results 1-20

Rag Engineer information

See Oregon salary details

$62.9K

$95.7K

$162.3K

How much do rag engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for rag engineer in Oregon is $95,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $111,000.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Oregon? For Rag Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Rag Engineer jobs in Oregon look for? The top searched job categories for Rag Engineer jobs in Oregon are:
What cities in Oregon are hiring for Rag Engineer jobs? Cities in Oregon with the most Rag Engineer job openings:
Infographic showing various Rag Engineer job openings in Oregon as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $95,696 per year, or $46 per hour.
Senior AI Automation Engineer

Senior AI Automation Engineer

Tebra

OR โ€ข Remote

$103K - $136K/yr

Other

Re-posted 16 days ago


Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. You'll own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights.

This role requires deep technical execution skills in integration development, agentic system design, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms.
    • Build evaluation into every system to ensure high quality results, considering precision, answer faithfulness, latency, and cost.
    • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking.
    • Implement data quality checks and architectural safeguards to ensure trusted, high-fidelity datasets for AI agents.

AI Operations

    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
  • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems.
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG).
  • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro , Foundations or SnowPro certifications preferred.

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